ImRheo provides a new technique to measure the mechanical properties of soft materials, based on image processing and artificial intelligence.
ImRheo’s goal is to develop a cheaper and simpler rheometer, which can be used for applications in food (foams, emulsions, colloids, etc.), cosmetics (gels, creams, foams, etc.), constructions engineering (concrete), petroleum (waxy oil), coating (paints), bioengineering (bioprinters, saliva testing), etc.
The team of physicists and computer scientists uses the discoveries of the past eight years on the flow of rheological materials, and will design software that uses a physics-informed Machine Learning algorithm to measure the rheological properties of liquids (elasticity, plasticity, and viscosity) only with imaging. The goals for this project have been set together with companies active in these application areas.
Location: @Science Park
Breath sensors for pre-symptomatic disease detection We are developing a non-invasive breath sensor for cows, for the early detection of illnesses well before observable symptoms. With automated and continuous monitoring, this would enable timely and precise feed adjustments by farmers to stop sickness progression. The technology is derived from extremely sensitive laser-based techniques enabling the […]
Reading the color code of molecules To analyse substances, we look at the “color” of the infrared light that is reflected from them. This is called the molecular spectrum. It gives a sort of fingerprint identification for that specific molecule. This fingerprint, especially of large molecules (f.e. biological molecules and special functions in those molecules) […]
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